Enhancing Cryptocurrency Investment Decision-Making Through Ambiguous Sets and Multi-Criteria Group Decision-Making

Cryptocurrency investing is challenging due to price volatility and uncertainty. This paper presents a framework that leverages ambiguous sets, metric spaces, and multi-criteria group decision-making (MCGDM) for improved investment decisions. We introduce the concept of ambiguous sets and provide formulas for assessing membership degrees to address uncertainty in cryptocurrency values. Additionally, we discuss metric spaces and operators like T-min and T-max for comparing and combining ambiguous sets. Our approach utilizes the ambiguous weighted geometric operator (AWGO) and degree of fitness function (DFF) to rank and prioritize combined ambiguous sets. We also propose an MCGDM method to incorporate diverse perspectives in decision-making, leading to more robust, consensus-driven investment choices. Experimental results demonstrate the effectiveness of our method, showing its superiority over existing approaches in enhancing cryptocurrency investment decision-making.